Daniel Pak
Impact in
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- Pain Management and Treatment
- Pain Management and Opioid Use
Papers in
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- Pain Management and Treatment 10
- Pain Management and Opioid Use 2
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- Advanced Radiotherapy Techniques 3
- Co-authors
- Robert Jason Yong (1 shared paper)Alan D. Kaye (2 shared papers)Richard D. Urman (1 shared paper)Amitabh Gulati (6 shared papers)Karen A. Vineberg (3 shared papers)Felix Yi-Chung Feng (2 shared papers)Randall K. Ten Haken (2 shared papers)Neel D. Mehta (4 shared papers)
- Journals
- Regional Anesthesia & Pain Medicine (7 papers)International Journal of Radiation Oncology*Biology*Physics (5 papers)Current Pain and Headache Reports (5 papers)Journal of Pain Research (2 papers)Neuromodulation Technology at the Neural Interface (2 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
Daniel Pak
20 papers receiving 335 citations
Peers
Comparison fields: 5 of 56
- Anesthesiology and Pain Medicine 99
- Complementary and Manual Therapy 5
- Surgery 99
- Radiation 19
- Otorhinolaryngology 11
Countries citing papers authored by Daniel Pak
This map shows the geographic impact of Daniel Pak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Pak more than expected).
Fields of papers citing papers by Daniel Pak
This network shows the impact of papers produced by Daniel Pak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Pak. The network helps show where Daniel Pak may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Pak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2021 | 61 | |
| 3 | 2020 | 26 | |
| 4 | 2012 | 25 | |
| 5 | 2011 | 22 | |
| 6 | 2020 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2018 | 18 | |
| 9 | 2022 | 14 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2010 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2010 | 1 | |
| 18 | 2011 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2025 | 1 |
About Daniel Pak
Daniel Pak is a scholar working on Anesthesiology and Pain Medicine, Radiation, Otorhinolaryngology, Surgery and Pharmacology, having authored 26 papers that have together received 347 indexed citations. Recurring topics across this work include Pain Management and Treatment (10 papers), Anesthesia and Pain Management (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Advanced Radiotherapy Techniques (3 papers), Musculoskeletal pain and rehabilitation (2 papers), Pain Management and Opioid Use (2 papers), Head and Neck Cancer Studies (2 papers) and Diversity and Career in Medicine (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (99 citations), Complementary and Manual Therapy (5 citations), Surgery (99 citations), Radiation (19 citations) and Otorhinolaryngology (11 citations). Daniel Pak has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Robert Jason Yong, Alan D. Kaye, Richard D. Urman, Amitabh Gulati, Karen A. Vineberg, Felix Yi-Chung Feng, Randall K. Ten Haken, Neel D. Mehta, Avraham Eisbruch and Virginia E. Tangel. Their work appears in journals such as Regional Anesthesia & Pain Medicine, International Journal of Radiation Oncology*Biology*Physics, Current Pain and Headache Reports, Journal of Pain Research and Neuromodulation Technology at the Neural Interface.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.